General Approach

Statistical Parameters

Note that if two or more comparisons are planned, there are two kinds of type I errors: experiment-wise and comparison-wise error rates. The experiment-wise error rate is the probability of making at least one type I error when testing a whole collection of comparisons. The comparison-wise error rate is the probability of a type I error set by the analyst for evaluating each comparison.
State the type I error rate or level of significance (alpha-level) to be used for all analysis and whether statistical tests will be one- or two-sided. An example might be “All tests will be two-sided and considered statistically significant if P<0.05”.
Describe how you will adjust the level of significance when ...

Get Data Analysis Plans: A Blueprint for Success Using SAS now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.